Lost Finder

A smart item-finding assistant based on the traditional divination method of "time-based analysis." Simply input the time information of the lost item to receive a comprehensive report including location guidance, environmental assessment, probability of recovery, and action suggestions.

Journal Article Writing Engine

Enter your research direction in a single sentence, and the AFP step-by-step engine will guide you through the entire process. P1 Topic Design—Davis's interesting theory + Problematization five-level topic selection method, extracting real problems from phenomena. P2 Introduction Writing—Five-color template analysis method, breaking down top-journal model articles paragraph by paragraph: emotional mobilization → knowledge gap → literature positioning → research space → value declaration, with embedded complete deconstruction prompts. P3 Literature Review—Structured organization, distinguishing research context and dialogue objects. P4 Theoretical Framework—6 sets of theoretical integration templates are embedded throughout the text (complementary, comparative, bridging, hierarchical, evolutionary, universal), each set containing six paragraphs: introduction → reasons → analysis → premise → interpretation → conclusion; plus five layers of in-depth sentence structure for developing a single theory in depth. P5 Research Methodology—Automatic adaptation strategy based on four paths: empirical quantitative/qualitative/speculative/hybrid. P6 Main Body Writing—9-3-1 pyramid structure. P7 Conclusion Writing—Three-level processing of conclusions (discovery → dialogue → extension). P8 Submission Preparation—8 Methods to Reduce AI Rate. P9 Global Assembly—Independent documents from each stage are compiled into a complete draft, supporting cross-chapter bidirectional backfilling and iterative iteration at any time. 🎯 Suitable for: Master's and doctoral students and young scholars who need to submit to C-level journals/core/SSCI journals, especially researchers stuck on theoretical frameworks and preface writing. ⚙️ Underlying Architecture: Five-Source Model × AFP Step-by-Step Human-Machine Relay Protocol, Heartbeat Signal + Forced Stop Point + Dual-Core Audit.

Full-process preparation guide for the Teaching Innovation Competition

Whether you're a first-time university teacher or looking to enhance the competitiveness of your existing courses, this preparation guide will help you stand out in the Teaching Innovation Competition. It will act as your dedicated coach, providing comprehensive support from analyzing the competition's underlying logic to delivering your presentation. This guide deeply understands the judging criteria and core methodologies of the Teaching Innovation Competition, helping you correct common misconceptions and grasp that the competition's essence is teaching and academic research. You'll receive a personalized preparation path; whether you need systematic, comprehensive guidance, want to optimize your existing courses, or seek breakthroughs in a specific area, you'll find the most suitable solution. From analyzing the course foundation and identifying teaching pain points to designing innovative measures and refining teaching effectiveness, the guide will guide you step-by-step. It not only helps you write high-quality course descriptions, teaching objectives, and innovation reports, but also provides practical guidance on key aspects such as classroom recording and PPT creation. Every key decision is supported by rigorous evidence and professional advice, ensuring your materials are logically clear and persuasive. Finally, through consistency verification of the three materials and alignment check of the scoring criteria, we ensure that all your submissions meet high standards, effectively avoiding empty statements and presenting your teaching achievements in the most professional and impactful way.